- KDnuggets™ News 21:n15, Apr 21: The Most In-Demand Skills for Data Scientists in 2021; How to organize your data science project - Apr 21, 2021.
The Most In-Demand Skills for Data Scientists in 2021; How to organize your data science project; You may have heard about Simpson's paradox, but do you know the other 2? Read Top 3 Statistical Paradoxes in Data Science; ETL in the Cloud; Data Profession Job Satisfaction: Beware Of The Drop; and more.
Data Science Skills, ETL, Project, Simpson's Paradox
Top 3 Statistical Paradoxes in Data Science - Apr 15, 2021.
Observation bias and sub-group differences generate statistical paradoxes.
Bias, Data Science, Simpson's Paradox, Statistics
- What is Simpson’s Paradox and How to Automatically Detect it - Sep 18, 2020.
Looking at data one way can tell one story, but sometimes looking at it another way will tell the opposite story. Understanding this paradox and why it happens is essential, and new tools are available to help automatically detect this tricky issue in your datasets.
Simpson's Paradox, Statistics
5 Statistical Traps Data Scientists Should Avoid - Oct 30, 2019.
Here are five statistical fallacies — data traps — which data scientists should be aware of and definitely avoid.
Bias, Fallacies, Simpson's Paradox, Statistics
- The Book of Why - Jun 1, 2018.
Judea Pearl has made noteworthy contributions to artificial intelligence, Bayesian networks, and causal analysis. These achievements notwithstanding, Pearl holds some views many statisticians may find odd or exaggerated.
Bayesian Networks, Causality, Data Science, Judea Pearl, Simpson's Paradox, Statistics
- How To Debug Your Approach To Data Analysis - Dec 29, 2017.
Seven common biases that influence how we understand, use, and interpret the world around us.
Pages: 1 2
Confirmation Bias, Data Analysis, Data Science, Outliers, Overfitting, Simpson's Paradox
- 4 Common Data Fallacies That You Need To Know - Dec 5, 2017.
In this post you will find a list of common the data fallacies that lead to incorrect conclusions and poor decision-making using data. Here you will find great resources and information so that you can always be reminded of these fallacies when you’re working with data.
Causality, Overfitting, Simpson's Paradox
- Top KDnuggets tweets, July 29-30: John Tukey coined “Software” and “bit”; Words matter: Adding “terrorism” - Aug 15, 2013.
John Tukey, a great statistician, coined the words "Software" and "bit" ; Words matter: Adding "terrorism" to a poll question makes 10% more people approve NSA; MIT prof. is working on Quantum Machine Learning; 4 Common Stats Errors to avoid: 1. Base Rate Fallacy 2. Extrapolation 3. Correlation != Causation
Simpson's Paradox
